TY -非盟的吴,丹盟——唐,获AU - Lu, Haidong盟——张Tiange P盟——曹,柏林AU - Ong Jason J AU -李,艾米盟——刘,是春城盟——黄,文婷AU - Fu,荣AU -李,凯瑟琳AU -潘,Stephen W非盟-张,你们非盟- Fu,据说AU -魏,重非盟-塔克,约瑟夫·D PY - 2019 DA - 2019/01/21 TI -以身作则:基于web的性健康影响者与男性发生性关系的男性有更高的HIV和梅毒测试率中国地中海乔- J互联网Res SP - e10171六世- 21 - 1 KW -健康促进KW -同侪影响KW -互联网KW -社交网络KW -社会媒体KW - HIV KW -梅毒KW -与男性发生性关系的男性KW -中国AB -背景:健康行为的传播通过社交网络可能加速了有影响力的人。之前的研究使用健康影响者来预防使用互联网的男男性行为者的性传播感染(STIs)。然而，人们对MSM这一关键子集的特征缺乏了解。目的:本研究旨在研究中国网络MSM性健康影响者(SHIs)的社会人口学特征、艾滋病毒和梅毒检测以及性行为，SHIs是指在网上传播艾滋病毒和性传播感染信息方面具有相对较强影响力的个人。方法:2017年8月，在中国8个城市开展了一项促进艾滋病毒检测的随机对照试验，并于2017年8月进行了一项基于网络的MSM调查。通过一个同性恋社交网络手机应用程序招募男性，如果他们出生时生理上是男性，年龄在16岁及以上，曾经与另一名男性发生过性关系，艾滋病毒呈阴性或艾滋病毒状况未知，他们就会被包括在内。获得了有关社会人口学特征、性行为以及艾滋病毒和梅毒检测的信息。我们使用一个以艾滋病毒和性传播感染信息为重点的标准化6项意见领导量表来评估男性在网络上的性健康影响。影响者的定义是那些平均得分在前13%之内的人(得分越高，影响力越大)。 We used multivariable linear and logistic regression models to measure Web-based sexual health influence’s association with HIV and syphilis testing, controlling for intervention trial effects, age, education, income, and marital status. Results: Overall, 1031 men completed the survey. Most men were younger than 30 years (819/1031, 79.43%) and had at least college education (667/1031, 64.69%). Influencers were more likely to get tested for HIV (73/132, 55.3% vs 337/899, 37.5%; P<.001) and syphilis (35/132, 26.5% vs 137/899, 15.2%; P=.001) in the last 3 months compared with noninfluencers. There were no significant differences in condomless sex with male partners (26/132, 19.7% vs 203/899, 22.6%; P=.46), mean number of male sex partners (1.32 vs 1.11; P=.16) in the last 3 months, and mainly meeting male sex partners online in the last 12 months (97/132, 73.5% vs 669/899, 74.4%; P=.82) between influencers and noninfluencers. Regression analyses showed that influencers had higher odds of HIV testing (adjusted odds ratio, AOR 2.16, 95% CI 1.48-3.17) and syphilis testing (AOR 1.99, 95% CI 1.28-3.10) in the last 3 months. Conclusions: We identified Web-based SHIs who might be more likely to help promote healthy HIV and syphilis testing behaviors through MSM populations. Leveraging existing influencers may help improve HIV and syphilis testing among their networks. SN - 1438-8871 UR - //www.mybigtv.com/2019/1/e10171/ UR - https://doi.org/10.2196/10171 UR - http://www.ncbi.nlm.nih.gov/pubmed/30664490 DO - 10.2196/10171 ID - info:doi/10.2196/10171 ER -